Overview

Dataset statistics

 Test DataTest Data
Number of variables99
Number of observations19449
Missing cells00
Missing cells (%)0.0%0.0%
Duplicate rows10
Duplicate rows (%)0.5%0.0%
Total size in memory8.5 KiB2.2 KiB
Average record size in memory44.7 B46.6 B

Variable types

 Test DataTest Data
Numeric99

Alerts

Test DataTest Data
Dataset has 1 (0.5%) duplicate rowsAlert not present in Duplicates
Temperature is highly overall correlated with RH and 2 other fieldsTemperature is highly overall correlated with month_08 and 3 other fieldsHigh Correlation
RH is highly overall correlated with Temperature and 1 other fieldsRH is highly overall correlated with Temperature and 1 other fieldsHigh Correlation
Rain is highly overall correlated with FFMC and 1 other fieldsRain is highly overall correlated with FFMC and 1 other fieldsHigh Correlation
FFMC is highly overall correlated with Temperature and 3 other fieldsFFMC is highly overall correlated with Temperature and 3 other fieldsHigh Correlation
Classes_not fire is highly overall correlated with Temperature and 2 other fieldsClasses_not fire is highly overall correlated with Rain and 1 other fieldsHigh Correlation
month_07 has 142 (73.2%) zeros month_07 has 40 (81.6%) zeros Zeros
month_08 has 151 (77.8%) zeros month_08 has 30 (61.2%) zeros Zeros
month_09 has 147 (75.8%) zeros month_09 has 36 (73.5%) zeros Zeros
log_skewed_FFMC has 68 (35.1%) zeros log_skewed_FFMC has 11 (22.4%) zeros Zeros
Classes_not fire has 106 (54.6%) zeros Classes_not fire has 31 (63.3%) zeros Zeros
Alert not present in month_08 is highly overall correlated with TemperatureHigh Correlation
Alert not present in month_09 is highly overall correlated with TemperatureHigh Correlation

Reproduction

 Test DataTest Data
Analysis started2023-02-18 20:52:10.5857032023-02-18 20:52:28.743180
Analysis finished2023-02-18 20:52:28.7008772023-02-18 20:52:44.979392
Duration18.12 seconds16.24 seconds
Software versionydata-profiling vv4.0.0ydata-profiling vv4.0.0
Download configurationconfig.jsonconfig.json

Variables

month_07
Real number (ℝ)

 Test DataTest Data
Distinct22
Distinct (%)1.0%4.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.268041240.18367347
 Test DataTest Data
Minimum00
Maximum11
Zeros14240
Zeros (%)73.2%81.6%
Negative00
Negative (%)0.0%0.0%
Memory size322.0 B177.0 B
2023-02-19T02:22:45.122667image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

 Test DataTest Data
Minimum00
5-th percentile00
Q100
median00
Q310
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)10

Descriptive statistics

 Test DataTest Data
Standard deviation0.444085230.3912304
Coefficient of variation (CV)1.65677952.1300322
Kurtosis-0.895169860.87634906
Mean0.268041240.18367347
Median Absolute Deviation (MAD)00
Skewness1.05554061.6858978
Sum529
Variance0.197211690.15306122
MonotonicityNot monotonicNot monotonic
2023-02-19T02:22:45.291455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 142
73.2%
1 52
 
26.8%
ValueCountFrequency (%)
0 40
81.6%
1 9
 
18.4%
ValueCountFrequency (%)
0 142
73.2%
1 52
 
26.8%
ValueCountFrequency (%)
0 40
81.6%
1 9
 
18.4%
ValueCountFrequency (%)
0 40
20.6%
1 9
 
4.6%
ValueCountFrequency (%)
0 142
289.8%
1 52
 
106.1%

month_08
Real number (ℝ)

 Test DataTest Data
Distinct22
Distinct (%)1.0%4.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.221649480.3877551
 Test DataTest Data
Minimum00
Maximum11
Zeros15130
Zeros (%)77.8%61.2%
Negative00
Negative (%)0.0%0.0%
Memory size322.0 B177.0 B
2023-02-19T02:22:45.463668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

 Test DataTest Data
Minimum00
5-th percentile00
Q100
median00
Q301
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)01

Descriptive statistics

 Test DataTest Data
Standard deviation0.416431120.49228746
Coefficient of variation (CV)1.87878231.2695834
Kurtosis-0.17737326-1.8513073
Mean0.221649480.3877551
Median Absolute Deviation (MAD)00
Skewness1.35076360.47541848
Sum4319
Variance0.173414880.24234694
MonotonicityNot monotonicNot monotonic
2023-02-19T02:22:45.604942image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 151
77.8%
1 43
 
22.2%
ValueCountFrequency (%)
0 30
61.2%
1 19
38.8%
ValueCountFrequency (%)
0 151
77.8%
1 43
 
22.2%
ValueCountFrequency (%)
0 30
61.2%
1 19
38.8%
ValueCountFrequency (%)
0 30
15.5%
1 19
9.8%
ValueCountFrequency (%)
0 151
308.2%
1 43
 
87.8%

month_09
Real number (ℝ)

 Test DataTest Data
Distinct22
Distinct (%)1.0%4.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.242268040.26530612
 Test DataTest Data
Minimum00
Maximum11
Zeros14736
Zeros (%)75.8%73.5%
Negative00
Negative (%)0.0%0.0%
Memory size322.0 B177.0 B
2023-02-19T02:22:45.760077image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

 Test DataTest Data
Minimum00
5-th percentile00
Q100
median00
Q301
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)01

Descriptive statistics

 Test DataTest Data
Standard deviation0.42956420.44607129
Coefficient of variation (CV)1.77309481.6813456
Kurtosis-0.53554681-0.83218293
Mean0.242268040.26530612
Median Absolute Deviation (MAD)00
Skewness1.21246911.0970482
Sum4713
Variance0.18452540.19897959
MonotonicityNot monotonicNot monotonic
2023-02-19T02:22:45.900692image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 147
75.8%
1 47
 
24.2%
ValueCountFrequency (%)
0 36
73.5%
1 13
 
26.5%
ValueCountFrequency (%)
0 147
75.8%
1 47
 
24.2%
ValueCountFrequency (%)
0 36
73.5%
1 13
 
26.5%
ValueCountFrequency (%)
0 36
18.6%
1 13
 
6.7%
ValueCountFrequency (%)
0 147
300.0%
1 47
 
95.9%

Temperature
Real number (ℝ)

 Test DataTest Data
Distinct1913
Distinct (%)9.8%26.5%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean-4.4294465 × 10-160.1715181
 Test DataTest Data
Minimum-2.741327-1.921043
Maximum2.72723281.9069488
Zeros00
Zeros (%)0.0%0.0%
Negative10124
Negative (%)52.1%49.0%
Memory size1.6 KiB520.0 B
2023-02-19T02:22:46.090544image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

 Test DataTest Data
Minimum-2.741327-1.921043
5-th percentile-1.7433148-1.1007591
Q1-0.55390309-0.55390309
median-0.00704711310.53980886
Q30.813236850.81323685
95-th percentile1.36009281.6335208
Maximum2.72723281.9069488
Range5.46855983.8279918
Interquartile range (IQR)1.36713991.3671399

Descriptive statistics

 Test DataTest Data
Standard deviation1.00258730.94644374
Coefficient of variation (CV)-2.2634596 × 10155.5180399
Kurtosis-0.0030995007-0.95758032
Mean-4.4294465 × 10-160.1715181
Median Absolute Deviation (MAD)0.820283970.82028397
Skewness-0.20874156-0.058855012
Sum-8.6819441 × 10-148.4043871
Variance1.00518130.89575575
MonotonicityNot monotonicNot monotonic
2023-02-19T02:22:46.255825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.2663808754 23
11.9%
0.8132368524 23
11.9%
-0.2804751016 22
11.3%
-0.007047113105 18
9.3%
0.5398088639 17
8.8%
-0.5539030901 15
7.7%
1.086664841 14
7.2%
-0.8273310786 12
 
6.2%
-1.100759067 12
 
6.2%
-1.374187056 7
 
3.6%
Other values (9) 31
16.0%
ValueCountFrequency (%)
0.5398088639 7
14.3%
1.086664841 7
14.3%
-0.5539030901 7
14.3%
0.8132368524 6
12.2%
-0.8273310786 6
12.2%
-0.2804751016 3
6.1%
-1.100759067 3
6.1%
-0.007047113105 3
6.1%
1.906948806 2
 
4.1%
1.633520818 2
 
4.1%
Other values (3) 3
6.1%
ValueCountFrequency (%)
-2.741326998 2
 
1.0%
-2.194471021 3
 
1.5%
-1.921043033 5
 
2.6%
-1.647615044 5
 
2.6%
-1.374187056 7
 
3.6%
-1.100759067 12
6.2%
-0.8273310786 12
6.2%
-0.5539030901 15
7.7%
-0.2804751016 22
11.3%
-0.007047113105 18
9.3%
ValueCountFrequency (%)
-1.921043033 1
 
2.0%
-1.374187056 1
 
2.0%
-1.100759067 3
6.1%
-0.8273310786 6
12.2%
-0.5539030901 7
14.3%
-0.2804751016 3
6.1%
-0.007047113105 3
6.1%
0.5398088639 7
14.3%
0.8132368524 6
12.2%
1.086664841 7
14.3%
ValueCountFrequency (%)
-1.921043033 1
 
0.5%
-1.374187056 1
 
0.5%
-1.100759067 3
1.5%
-0.8273310786 6
3.1%
-0.5539030901 7
3.6%
-0.2804751016 3
1.5%
-0.007047113105 3
1.5%
0.5398088639 7
3.6%
0.8132368524 6
3.1%
1.086664841 7
3.6%
ValueCountFrequency (%)
-2.741326998 2
 
4.1%
-2.194471021 3
 
6.1%
-1.921043033 5
 
10.2%
-1.647615044 5
 
10.2%
-1.374187056 7
 
14.3%
-1.100759067 12
24.5%
-0.8273310786 12
24.5%
-0.5539030901 15
30.6%
-0.2804751016 22
44.9%
-0.007047113105 18
36.7%

RH
Real number (ℝ)

 Test DataTest Data
Distinct5932
Distinct (%)30.4%65.3%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean2.0144253 × 10-16-0.073641542
 Test DataTest Data
Minimum-2.7633719-1.8257931
Maximum1.85755211.7905821
Zeros00
Zeros (%)0.0%0.0%
Negative9127
Negative (%)46.9%55.1%
Memory size1.6 KiB520.0 B
2023-02-19T02:22:46.497393image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

 Test DataTest Data
Minimum-2.7633719-1.8257931
5-th percentile-1.7621717-1.4775496
Q1-0.6203347-0.68730462
median0.082849376-0.28548514
Q30.769290980.71906354
95-th percentile1.58967241.5360965
Maximum1.85755211.7905821
Range4.6209243.6163753
Interquartile range (IQR)1.38962571.4063682

Descriptive statistics

 Test DataTest Data
Standard deviation1.00258730.96210724
Coefficient of variation (CV)4.977039 × 1015-13.064735
Kurtosis-0.4049972-0.85608547
Mean2.0144253 × 10-16-0.073641542
Median Absolute Deviation (MAD)0.703184080.80363895
Skewness-0.33022220.13917735
Sum3.1974423 × 10-14-3.6084355
Variance1.00518130.92565035
MonotonicityNot monotonicNot monotonic
2023-02-19T02:22:46.760902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1163343324 8
 
4.1%
1.053913106 8
 
4.1%
-0.5533647917 8
 
4.1%
0.2502741572 7
 
3.6%
0.384213982 7
 
3.6%
1.187852931 6
 
3.1%
0.04936441997 6
 
3.1%
-0.4863948793 6
 
3.1%
0.9199732813 5
 
2.6%
-0.2185152297 5
 
2.6%
Other values (49) 128
66.0%
ValueCountFrequency (%)
-0.4863948793 4
 
8.2%
-0.6203347041 3
 
6.1%
-0.2854851421 3
 
6.1%
0.8530033689 3
 
6.1%
-1.290033828 3
 
6.1%
0.1833042448 2
 
4.1%
-0.8882143538 2
 
4.1%
0.1163343324 2
 
4.1%
-1.223063916 2
 
4.1%
0.7190635441 2
 
4.1%
Other values (22) 23
46.9%
ValueCountFrequency (%)
-2.763371901 1
 
0.5%
-2.562462164 1
 
0.5%
-2.428522339 1
 
0.5%
-2.227612602 1
 
0.5%
-2.093672777 1
 
0.5%
-1.959732952 2
1.0%
-1.89276304 3
1.5%
-1.691853303 3
1.5%
-1.62488339 1
 
0.5%
-1.490943566 2
1.0%
ValueCountFrequency (%)
-1.825793128 1
 
2.0%
-1.758823215 1
 
2.0%
-1.557913478 1
 
2.0%
-1.357003741 1
 
2.0%
-1.290033828 3
6.1%
-1.223063916 2
4.1%
-0.8882143538 2
4.1%
-0.754274529 1
 
2.0%
-0.6873046166 1
 
2.0%
-0.6203347041 3
6.1%
ValueCountFrequency (%)
-1.825793128 1
 
0.5%
-1.758823215 1
 
0.5%
-1.557913478 1
 
0.5%
-1.357003741 1
 
0.5%
-1.290033828 3
1.5%
-1.223063916 2
1.0%
-0.8882143538 2
1.0%
-0.754274529 1
 
0.5%
-0.6873046166 1
 
0.5%
-0.6203347041 3
1.5%
ValueCountFrequency (%)
-2.763371901 1
 
2.0%
-2.562462164 1
 
2.0%
-2.428522339 1
 
2.0%
-2.227612602 1
 
2.0%
-2.093672777 1
 
2.0%
-1.959732952 2
4.1%
-1.89276304 3
6.1%
-1.691853303 3
6.1%
-1.62488339 1
 
2.0%
-1.490943566 2
4.1%

Rain
Real number (ℝ)

 Test DataTest Data
Distinct3316
Distinct (%)17.0%32.7%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean-4.5782393 × 10-18-0.14501067
 Test DataTest Data
Minimum-0.38154131-0.38154131
Maximum7.375911.6963474
Zeros00
Zeros (%)0.0%0.0%
Negative15841
Negative (%)81.4%83.7%
Memory size1.6 KiB520.0 B
2023-02-19T02:22:47.006364image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

 Test DataTest Data
Minimum-0.38154131-0.38154131
5-th percentile-0.38154131-0.38154131
Q1-0.38154131-0.38154131
median-0.38154131-0.38154131
Q3-0.15066479-0.19684009
95-th percentile1.75868411.1330087
Maximum7.375911.6963474
Range7.75745132.0778887
Interquartile range (IQR)0.230876530.18470122

Descriptive statistics

 Test DataTest Data
Standard deviation1.00258730.5048259
Coefficient of variation (CV)-2.1898972 × 1017-3.4813018
Kurtosis22.7091676.1428411
Mean-4.5782393 × 10-18-0.14501067
Median Absolute Deviation (MAD)00
Skewness4.36201922.6041432
Sum-7.9936058 × 10-15-7.1055227
Variance1.00518130.25484919
MonotonicityNot monotonicNot monotonic
2023-02-19T02:22:47.777519image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
-0.3815413129 104
53.6%
-0.3353660074 15
 
7.7%
-0.2891907019 9
 
4.6%
-0.2430153964 9
 
4.6%
-0.1968400909 5
 
2.6%
-0.05831417446 5
 
2.6%
-0.1044894799 5
 
2.6%
-0.1506647854 4
 
2.1%
0.4496141859 3
 
1.5%
0.5419647969 3
 
1.5%
Other values (23) 32
 
16.5%
ValueCountFrequency (%)
-0.3815413129 29
59.2%
-0.3353660074 3
 
6.1%
-0.1968400909 3
 
6.1%
-0.2891907019 2
 
4.1%
1.373120296 1
 
2.0%
-0.1044894799 1
 
2.0%
0.4957894914 1
 
2.0%
0.03403643652 1
 
2.0%
0.172562353 1
 
2.0%
0.6343154079 1
 
2.0%
Other values (6) 6
 
12.2%
ValueCountFrequency (%)
-0.3815413129 104
53.6%
-0.3353660074 15
 
7.7%
-0.2891907019 9
 
4.6%
-0.2430153964 9
 
4.6%
-0.1968400909 5
 
2.6%
-0.1506647854 4
 
2.1%
-0.1044894799 5
 
2.6%
-0.05831417446 5
 
2.6%
-0.01213886897 2
 
1.0%
0.08021174201 2
 
1.0%
ValueCountFrequency (%)
-0.3815413129 29
59.2%
-0.3353660074 3
 
6.1%
-0.2891907019 2
 
4.1%
-0.2430153964 1
 
2.0%
-0.1968400909 3
 
6.1%
-0.1506647854 1
 
2.0%
-0.1044894799 1
 
2.0%
-0.05831417446 1
 
2.0%
0.03403643652 1
 
2.0%
0.172562353 1
 
2.0%
ValueCountFrequency (%)
-0.3815413129 29
14.9%
-0.3353660074 3
 
1.5%
-0.2891907019 2
 
1.0%
-0.2430153964 1
 
0.5%
-0.1968400909 3
 
1.5%
-0.1506647854 1
 
0.5%
-0.1044894799 1
 
0.5%
-0.05831417446 1
 
0.5%
0.03403643652 1
 
0.5%
0.172562353 1
 
0.5%
ValueCountFrequency (%)
-0.3815413129 104
212.2%
-0.3353660074 15
 
30.6%
-0.2891907019 9
 
18.4%
-0.2430153964 9
 
18.4%
-0.1968400909 5
 
10.2%
-0.1506647854 4
 
8.2%
-0.1044894799 5
 
10.2%
-0.05831417446 5
 
10.2%
-0.01213886897 2
 
4.1%
0.08021174201 2
 
4.1%

FFMC
Real number (ℝ)

 Test DataTest Data
Distinct15044
Distinct (%)77.3%89.8%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean9.7058673 × 10-160.14190122
 Test DataTest Data
Minimum-3.2229525-3.3534481
Maximum1.27571371.1246134
Zeros00
Zeros (%)0.0%0.0%
Negative6811
Negative (%)35.1%22.4%
Memory size1.6 KiB520.0 B
2023-02-19T02:22:48.288603image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

 Test DataTest Data
Minimum-3.2229525-3.3534481
5-th percentile-2.1092751-1.3795296
Q1-0.501431160.039439003
median0.396585020.43092598
Q30.73827760.76746742
95-th percentile1.0219340.91582038
Maximum1.27571371.1246134
Range4.49866614.4780616
Interquartile range (IQR)1.23970880.72802842

Descriptive statistics

 Test DataTest Data
Standard deviation1.00258730.91599526
Coefficient of variation (CV)1.0329704 × 10156.4551611
Kurtosis0.515541664.7732774
Mean9.7058673 × 10-160.14190122
Median Absolute Deviation (MAD)0.418959750.35714601
Skewness-1.1818359-2.0606368
Sum1.8451907 × 10-136.9531599
Variance1.00518130.83904731
MonotonicityNot monotonicNot monotonic
2023-02-19T02:22:48.808618image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7880719957 6
 
3.1%
0.8018083809 4
 
2.1%
0.8224129587 4
 
2.1%
-2.062227931 3
 
1.5%
0.6575763364 3
 
1.5%
0.733126455 3
 
1.5%
0.04630719544 2
 
1.0%
0.9048312699 2
 
1.0%
0.5888944105 2
 
1.0%
0.630103566 2
 
1.0%
Other values (140) 163
84.0%
ValueCountFrequency (%)
0.8155447661 2
 
4.1%
0.5476852549 2
 
4.1%
0.121857314 2
 
4.1%
0.6026307957 2
 
4.1%
0.7674674179 2
 
4.1%
0.6438399512 1
 
2.0%
0.8086765735 1
 
2.0%
0.4309259808 1
 
2.0%
0.5202124845 1
 
2.0%
-0.777875916 1
 
2.0%
Other values (34) 34
69.4%
ValueCountFrequency (%)
-3.22295248 1
0.5%
-2.838333695 1
0.5%
-2.755915383 1
0.5%
-2.50866045 1
0.5%
-2.494924065 1
0.5%
-2.391901176 1
0.5%
-2.233932746 1
0.5%
-2.227064554 1
0.5%
-2.16525082 1
0.5%
-2.158382628 1
0.5%
ValueCountFrequency (%)
-3.353448139 1
2.0%
-2.714706228 1
2.0%
-1.492167946 1
2.0%
-1.21057205 1
2.0%
-1.059471812 1
2.0%
-0.9839216939 1
2.0%
-0.9427125383 1
2.0%
-0.8808988049 1
2.0%
-0.777875916 1
2.0%
-0.1597385824 1
2.0%
ValueCountFrequency (%)
-3.353448139 1
0.5%
-2.714706228 1
0.5%
-1.492167946 1
0.5%
-1.21057205 1
0.5%
-1.059471812 1
0.5%
-0.9839216939 1
0.5%
-0.9427125383 1
0.5%
-0.8808988049 1
0.5%
-0.777875916 1
0.5%
-0.1597385824 1
0.5%
ValueCountFrequency (%)
-3.22295248 1
2.0%
-2.838333695 1
2.0%
-2.755915383 1
2.0%
-2.50866045 1
2.0%
-2.494924065 1
2.0%
-2.391901176 1
2.0%
-2.233932746 1
2.0%
-2.227064554 1
2.0%
-2.16525082 1
2.0%
-2.158382628 1
2.0%

log_skewed_FFMC
Real number (ℝ)

 Test DataTest Data
Distinct8834
Distinct (%)45.4%69.4%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean2.91238586.6384687
 Test DataTest Data
Minimum00
Maximum196.15382196.15382
Zeros6811
Zeros (%)35.1%22.4%
Negative00
Negative (%)0.0%0.0%
Memory size1.6 KiB520.0 B
2023-02-19T02:22:49.258246image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

 Test DataTest Data
Minimum00
5-th percentile00
Q101.0200112
median1.21593411.3389339
Q31.77581072.709203
95-th percentile6.402119313.275269
Maximum196.15382196.15382
Range196.15382196.15382
Interquartile range (IQR)1.77581071.6891918

Descriptive statistics

 Test DataTest Data
Standard deviation14.52195527.98676
Coefficient of variation (CV)4.98627454.2158457
Kurtosis164.7825546.450153
Mean2.91238586.6384687
Median Absolute Deviation (MAD)1.21593410.98165022
Skewness12.4448076.7448155
Sum565.00285325.28497
Variance210.88718783.25872
MonotonicityNot monotonicNot monotonic
2023-02-19T02:22:49.697507image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68
35.1%
1.268919598 6
 
3.1%
1.247180778 4
 
2.1%
1.215934148 4
 
2.1%
1.364021163 3
 
1.5%
1.520735989 3
 
1.5%
1.291429693 2
 
1.0%
0.9922070483 2
 
1.0%
1.698097286 2
 
1.0%
1.587040693 2
 
1.0%
Other values (78) 98
50.5%
ValueCountFrequency (%)
0 11
22.4%
1.22617426 2
 
4.1%
1.825866209 2
 
4.1%
1.302986911 2
 
4.1%
1.659390803 2
 
4.1%
8.206319073 2
 
4.1%
1.553181032 1
 
2.0%
4.315024481 1
 
2.0%
2.869377311 1
 
2.0%
2.320584148 1
 
2.0%
Other values (24) 24
49.0%
ValueCountFrequency (%)
0 68
35.1%
0.7838749584 1
 
0.5%
0.8628467208 1
 
0.5%
0.8679906045 1
 
0.5%
0.8837969415 2
 
1.0%
0.8946582494 1
 
0.5%
0.9172019175 1
 
0.5%
0.9348696052 1
 
0.5%
0.9658784794 2
 
1.0%
0.9854912515 2
 
1.0%
ValueCountFrequency (%)
0 11
22.4%
0.8891944296 1
 
2.0%
1.020011204 1
 
2.0%
1.057037282 1
 
2.0%
1.148777869 1
 
2.0%
1.205863655 1
 
2.0%
1.215934148 1
 
2.0%
1.22617426 2
 
4.1%
1.236588313 1
 
2.0%
1.257956277 1
 
2.0%
ValueCountFrequency (%)
0 11
5.7%
0.8891944296 1
 
0.5%
1.020011204 1
 
0.5%
1.057037282 1
 
0.5%
1.148777869 1
 
0.5%
1.205863655 1
 
0.5%
1.215934148 1
 
0.5%
1.22617426 2
 
1.0%
1.236588313 1
 
0.5%
1.257956277 1
 
0.5%
ValueCountFrequency (%)
0 68
138.8%
0.7838749584 1
 
2.0%
0.8628467208 1
 
2.0%
0.8679906045 1
 
2.0%
0.8837969415 2
 
4.1%
0.8946582494 1
 
2.0%
0.9172019175 1
 
2.0%
0.9348696052 1
 
2.0%
0.9658784794 2
 
4.1%
0.9854912515 2
 
4.1%

Classes_not fire
Real number (ℝ)

 Test DataTest Data
Distinct22
Distinct (%)1.0%4.1%
Missing00
Missing (%)0.0%0.0%
Infinite00
Infinite (%)0.0%0.0%
Mean0.453608250.36734694
 Test DataTest Data
Minimum00
Maximum11
Zeros10631
Zeros (%)54.6%63.3%
Negative00
Negative (%)0.0%0.0%
Memory size322.0 B177.0 B
2023-02-19T02:22:50.023007image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

 Test DataTest Data
Minimum00
5-th percentile00
Q100
median00
Q311
95-th percentile11
Maximum11
Range11
Interquartile range (IQR)11

Descriptive statistics

 Test DataTest Data
Standard deviation0.499131240.48707792
Coefficient of variation (CV)1.10035751.3259343
Kurtosis-1.9852962-1.7507485
Mean0.453608250.36734694
Median Absolute Deviation (MAD)00
Skewness0.187826350.56786755
Sum8818
Variance0.249131990.2372449
MonotonicityNot monotonicNot monotonic
2023-02-19T02:22:50.234828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 106
54.6%
1 88
45.4%
ValueCountFrequency (%)
0 31
63.3%
1 18
36.7%
ValueCountFrequency (%)
0 106
54.6%
1 88
45.4%
ValueCountFrequency (%)
0 31
63.3%
1 18
36.7%
ValueCountFrequency (%)
0 31
16.0%
1 18
9.3%
ValueCountFrequency (%)
0 106
216.3%
1 88
179.6%

Interactions

Test Data

2023-02-19T02:22:26.600319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:42.824322image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:11.027781image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:29.023974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:12.761886image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:30.583851image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:15.626312image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

2023-02-19T02:22:18.960271image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:35.974483image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:20.508998image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:38.245965image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:22.133954image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:39.723977image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:24.783305image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

2023-02-19T02:22:29.534122image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

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Test Data

2023-02-19T02:22:31.060114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

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Test Data

2023-02-19T02:22:21.409607image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:39.056310image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:23.405720image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:40.540503image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:26.043416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:42.149237image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:27.824784image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:44.090227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:12.377399image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:30.224605image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:15.067866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:31.775059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:16.842845image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:33.333638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:18.417982image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:35.407106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:19.959797image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:37.497452image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:21.575817image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:39.196740image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:23.715038image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:40.690464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:26.226020image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:42.322971image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:28.008933image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:44.272779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:12.568742image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:30.416435image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:15.358732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:31.961774image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:17.028016image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:33.516046image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:18.626921image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:35.600046image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:20.161691image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:37.849239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:21.792228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:39.396798image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:24.132680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:40.881892image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:26.416960image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:42.564494image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Correlations

Test Data

2023-02-19T02:22:50.453569image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

2023-02-19T02:22:50.806310image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Test Data

month_07month_08month_09TemperatureRHRainFFMClog_skewed_FFMCClasses_not fire
month_071.000-0.323-0.3420.2080.003-0.1390.1250.167-0.131
month_08-0.3231.000-0.3020.469-0.280-0.1820.3770.035-0.287
month_09-0.342-0.3021.000-0.3880.1310.203-0.262-0.1350.234
Temperature0.2080.469-0.3881.000-0.629-0.3450.6900.303-0.538
RH0.003-0.2800.131-0.6291.0000.230-0.678-0.2310.427
Rain-0.139-0.1820.203-0.3450.2301.000-0.769-0.4710.718
FFMC0.1250.377-0.2620.690-0.678-0.7691.0000.418-0.859
log_skewed_FFMC0.1670.035-0.1350.303-0.231-0.4710.4181.000-0.484
Classes_not fire-0.131-0.2870.234-0.5380.4270.718-0.859-0.4841.000

Test Data

month_07month_08month_09TemperatureRHRainFFMClog_skewed_FFMCClasses_not fire
month_071.000-0.377-0.285-0.1410.0930.297-0.252-0.1030.185
month_08-0.3771.000-0.4780.693-0.384-0.2250.4640.156-0.346
month_09-0.285-0.4781.000-0.5910.350-0.198-0.1700.0070.117
Temperature-0.1410.693-0.5911.000-0.679-0.0710.5380.181-0.414
RH0.093-0.3840.350-0.6791.000-0.027-0.604-0.1220.391
Rain0.297-0.225-0.198-0.071-0.0271.000-0.621-0.2360.535
FFMC-0.2520.464-0.1700.538-0.604-0.6211.0000.057-0.835
log_skewed_FFMC-0.1030.1560.0070.181-0.122-0.2360.0571.000-0.187
Classes_not fire0.185-0.3460.117-0.4140.3910.535-0.835-0.1871.000

Missing values

Test Data

2023-02-19T02:22:28.281904image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.

Test Data

2023-02-19T02:22:44.538680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
A simple visualization of nullity by column.

Test Data

2023-02-19T02:22:28.560970image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Test Data

2023-02-19T02:22:44.839935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

Test Data

month_07month_08month_09TemperatureRHRainFFMClog_skewed_FFMCClasses_not fire
00000.266381-0.821244-0.3815410.7743361.2914300
11000.5398091.254823-0.3815410.3004303.3285591
2001-0.8273310.183304-0.104489-0.6267760.0000001
31000.539809-1.156094-0.3815410.8979631.1136320
4001-0.5539031.187853-0.3815410.3897172.5659660
51000.813237-0.218515-0.3815410.7331261.3640210
60010.539809-0.285485-0.2891910.1424627.0194211
7000-0.0070470.250274-0.3815410.5820261.7181360
8000-1.1007591.857552-0.381541-0.7297990.0000001
91001.086665-0.620335-0.3815410.8086771.2365880

Test Data

month_07month_08month_09TemperatureRHRainFFMClog_skewed_FFMCClasses_not fire
00100.5398090.183304-0.3815410.6438401.5531810
1100-0.2804751.120883-0.3815410.5476851.8258660
20101.906949-1.557913-0.2891910.8155451.2261740
3001-1.1007591.455733-0.3815410.4377942.2841780
4001-0.280475-0.486395-0.3815410.7125221.4034660
51000.539809-0.7542751.3731200.005098196.1538211
60001.360093-1.758823-0.1044890.6026311.6593910
71001.086665-1.2900340.4957890.3347712.9871140
8001-0.5539030.7190640.034036-1.0594720.0000001
90101.086665-0.620335-0.3815410.8292811.2058640

Test Data

month_07month_08month_09TemperatureRHRainFFMClog_skewed_FFMCClasses_not fire
1841001.086665-0.419425-0.3815410.7880721.2689200
185001-1.9210431.0539131.373120-2.3919010.0000001
186000-0.2804750.4511841.788698-1.0457350.0000001
1871000.813237-0.285485-0.2891910.06004416.6545701
1880100.813237-0.017605-0.3815410.8224131.2159340
1890100.2663811.321793-0.3815410.5133441.9480100
190001-0.8273311.723612-0.381541-0.4413340.0000001
191010-0.0070470.451184-0.3815410.6232351.6045300
192000-0.2804750.116334-0.3815410.6369721.5699280
193000-1.9210431.723612-0.289191-1.6844770.0000001

Test Data

month_07month_08month_09TemperatureRHRainFFMClog_skewed_FFMCClasses_not fire
39100-0.2804750.853003-0.335366-0.1597390.0000001
40001-0.827331-0.352455-0.3815410.8155451.2261740
410000.813237-1.223064-0.2891910.5614221.7811920
420100.539809-1.357004-0.3353660.7468631.3389340
43001-1.1007590.518154-0.3815410.1699355.8846151
440101.086665-0.486395-0.2430150.3416392.9270620
45001-0.8273311.589672-0.381541-2.7147060.0000001
46000-0.5539031.187853-0.196840-1.2105720.0000001
470100.813237-0.620335-0.1506650.1905395.2482630
480100.813237-0.486395-0.1968400.03943925.3556111

Duplicate rows

Test Data

month_07month_08month_09TemperatureRHRainFFMClog_skewed_FFMCClasses_not fire# duplicates
01000.539809-1.156094-0.3815410.8979631.11363202

Test Data

month_07month_08month_09TemperatureRHRainFFMClog_skewed_FFMCClasses_not fire# duplicates
Dataset does not contain duplicate rows.